Bibliographic record
Abstract
Research background: There has been a significant rise in group-based and collective art practice that challenges conventional methodologies and ideas of individual authorship in art. These enterprises approach art as an expanded form of intellectual activity by capitalizing on group dynamics and collective research. Research contribution: The Weak Force 2 builds upon previous iterations of Weak Force projects by the UFT collaborative group. The artists produced a sonic installation as part of the Guilford International Music Festival. This installation sculpturally and conceptually revisited Luigi Rusollo's 'sound intoners' or 'intonarumori' on the 100th year anniversary of his groundbreaking manifesto 'The Art of Noises'. The Weak Force 3 explored Russolo's basic premise of a systematic poetics of noise through sounds recorded in Canada, Australia, Auckland and Wellington in New Zealand. Vibrational speakers and buckets were used to reconfigure these sounds from the general field into a textual composition within the Lewis Elton Gallery. Research significance: The significance of this research is that group-based practice was used to extend and combine the practices of eight artists working across four different continents. The resulting exhibition explored ideas of disjunction and synchronicity by presenting abstracted sound recordings from across the globe within an installation context.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.006 | 0.018 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.004 | 0.003 |
| Scholarly communication | 0.006 | 0.005 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.230 | 0.081 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".